Quantitative Risk Manager

☞ James Woodman

Visualizza: 130

Giorno di aggiornamento: 16-11-2025

Località: Brussels Brussels Capital

Categoria: Finanza / Banca / Azione IT - Software IT - Hardware / Reti Tecnologie dell’informazione

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Contenuto del lavoro

Would you like to pursue your career as a Quantitative Risk Manager within a fast-expanding company? Would you like to evolve within a dynamic, young team, widely recognised for their expertise?


Client Details

Our client, fast-expanding consultancy, is currently looking for a Quantitative Risk Manager to strengthen its team.

Description


Your responsibilities - Quantitative Risk Manager:

  • Lead engagements of the Risk Advisory practice in the quantitiative area for banking/insurance clients.
  • Assist the clients in the modelling of their risks: credit risk, market risk, interest rate risk, liquidity risk, ... from model design to model implemenetation while using the most advanced technologies or software packages.
  • Participate to model vvalidation assignments and provide clients with recommendations to improve their models and related processes.
  • Build and maintain close relationships with the clients.

Offer


The Offer - Quantitative Risk Manager:

  • A competitive salary/package depending on your experience!
  • A hands-on position within a fast-expanding actor of the consultancy world, allowing you to work on very interesting projects!
  • A flexible working environment in which you will be able to define your specilisation and career for further development.
  • A good work-life balance thanks to flexible working arrangements.
  • A lot of growth opportunities thanks to extensive training programmes.
  • Travel opportunities (EU).

60000 - 70000 per year
Profiles


Your profile - Quantitative Risk Manager:

  • A master degree in a quantitative field (econometrics, physics, mathematics, applied economics, ...).
  • A relevant experience in the financial services sector alongside regulatory knowlege (Basel III, Solvency II, IFRS9, IFRS 17, ...).
  • IT knowledge is a strong asset (SAS, R, Python, ...).
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Scadenza: 31-12-2025

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